An apparatus, method, and computer program for initiating a word spotting algorithm (220) on one or more wireless communication devices in a first power mode to detect a keyword data sequence (224) embedded within a sampled audio signal (222). In response to detecting the keyword data sequence (226), the word spotting algorithm is terminated and a plurality of identification algorithms (230) consisting of speech, voice, image recognition and a predetermined isolation time criterion are initiated on the one or more wireless communication devices operating in a second power mode to detect the presence of identification data (240). If identification data is detected on a particular wireless communication device it is activated to accept speech and/or voice commands (242). On the other hand, if identification data is not detected, the plurality of identification algorithms are terminated, and the word spotting algorithm is reinitiated on the one or more wireless communication devices that are then operating in the first power mode (244).
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1. A method, comprising:
initiating a word spotting algorithm on a battery powered mobile wireless communication device in a first power mode to detect a keyword data sequence embedded within a sampled audio signal, the first power mode being adapted for low power consumption of the battery during the word spotting algorithm, and
in response to detecting the keyword data sequence, terminating the word spotting algorithm and initiating a plurality of identification algorithms on the mobile wireless communication device operating in a second power mode to detect for a presence of identification data, the second power mode being adapted for higher power consumption of the battery during the plurality of identification algorithms, wherein the plurality identification algorithms consist of:
(i) a speech recognition algorithm operating on the sampled audio signal to identify if an embedded numeric or alphanumeric identity code matches a predetermined numeric or an alphanumeric identity code;
(ii) a voice recognition algorithm operating on the sampled audio signal to identify that one or more embedded voice print data matches a predetermined voice print data;
(iii) an isolation algorithm operating on the sampled audio signal adapted to identify a predetermined degree of isolation between the keyword data sequence and subsequent utterances; and,
(iv) an image recognition algorithm operating on one or more images obtained from an image capture device and identifying one or more recognized images corresponding to one or more reference images;
wherein if the identification data is detected, the mobile wireless communication device is activated,
wherein if the identification data is not detected, the plurality of identification algorithms are terminated, and the word spotting algorithm is reinitiated on the battery operated mobile wireless communication device operating in the first power mode.
9. An apparatus, comprising:
at least one processor; and at least one tangible memory storing computer instructions that when executed, cause the apparatus to:
initiate a word spotting algorithm on a battery powered mobile wireless communication device in a first power mode to detect a keyword data sequence embedded within a sampled audio signal, the first power mode being adapted for low power consumption of the battery during the word spotting algorithm, and in response to detecting the keyword data sequence, terminating the word spotting algorithm and initiating a plurality of identification algorithms on the battery powered mobile wireless communication device operating in a second power mode to detect the presence of identification data, the second power mode being adapted for higher power consumption of the battery during the plurality of identification algorithms, wherein the identification algorithms consist of:
(i) a speech recognition algorithm operating on the sampled audio signal to identify if an embedded numeric or alphanumeric identity code matches a predetermined numeric or alphanumeric identity code;
(ii) a voice recognition algorithm operating on the sampled audio signal to identify that one or more embedded voice print data matches a predetermined voice print data;
(iii) an isolation algorithm operating on the sampled audio signal adapted to identify a predetermined degree of isolation between the keyword data sequence and subsequent utterances; and,
(iv) an image recognition algorithm operating on one or more images obtained from an image capture device and identifying one or more recognized images corresponding to one or more reference images;
wherein if the identification data is detected, the mobile wireless communication device is activated,
wherein if the identification data is not detected, the identification algorithm is terminated, and the word spotting algorithm is reinitiated on the battery powered mobile wireless communication device operating in the first power mode.
16. A non-transitory program storage device readable by a machine, tangibly embodying a program of instructions executable by the machine for causing operations, said operations comprising:
initiating a word spotting algorithm on a battery powered mobile wireless communication device in a first power mode to detect a keyword data sequence embedded within a sampled audio signal, the first power mode being adapted for low power consumption of the battery during the word spotting algorithm, and in response to detecting the keyword data sequence, terminating the word spotting algorithm and initiating a plurality of identification algorithms on the battery powered mobile wireless communication device operating in a second power mode to detect the presence of identification data, the second power mode being adapted for higher power consumption of the battery during the plurality of identification algorithms, wherein the plurality of identification algorithms comprise:
(i) a speech recognition algorithm operating on the sampled audio signal to identify if an embedded numeric or alphanumeric identity code matches a predetermined numeric or alphanumeric identity code;
(ii) a voice recognition algorithm operating on the sampled audio signal to identify that one or more embedded voice print data matches a predetermined voice print data;
(iii) an isolation algorithm operating on the sampled audio signal adapted to identify a predetermined degree of isolation between the keyword data sequence and subsequent utterances; and,
(iv) an image recognition algorithm operating on one or more images obtained from an image capture device and identifying one or more recognized images corresponding to one or more reference images;
wherein if the identification data is detected, the mobile wireless communication device is activated,
wherein if the identification data is not detected, the one or more identification algorithms are terminated, and the word spotting algorithm is reinitiated on the battery powered mobile wireless communication device operating in the first power mode.
2. The method of
chunking data received from an analog to digital convertor into data frames;
extracting features embedded in each frame of chunked data for phoneme recognition; and,
comparing recognized phonemes to a sequence of phonemes in a keyword data reference sequence.
3. The method of
4. The method of
5. The method of
employing a digit recognizer to identify if the embedded numeric or alphanumeric identity code matches the predetermined numeric or alphanumeric identity code.
6. The method of
7. The method of
8. The method of
10. The apparatus of
11. The apparatus of
chunking data received from an analogue to digital convertor into data frames;
extracting features embedded in each frame of chunked data for phoneme recognition:
comparing recognized phonemes to a sequence of phonemes in a keyword data reference sequence.
12. The apparatus of
a cellular phone, a personal digital assistant, a wireless modem, and a mobile radio, and a laptop computer.
13. The apparatus of
14. The apparatus of
15. The apparatus of
17. The non-transitory program storage device of
chunking data received from an analogue to digital convertor into data frames;
extracting features embedded in each frame of chunked data for phoneme recognition;
comparing a sequence of recognized phonemes to a sequence of phonemes in a keyword data reference sequence.
18. The non-transitory program storage device of
19. The non-transitory program storage device of
20. The non-transitory program storage device of
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The present disclosure relates generally to speech recognition and more particularly to activating a wireless communication device by speech and/or voice.
Increasingly, speech recognition and voice recognition are becoming common features in wireless communication devices. Speech recognition generally refers to the translation of spoken words into audio signals for further processing (e.g., translating into text, activating applications and/or features within the activated applications), and includes speaker independent systems (i.e., systems not requiring specific user speech training) and speaker dependent systems. Voice recognition refers to determining the identity of the particular mobile user who is speaking rather than determining what the speaker is saying. Recognition of the speaker can be utilized to authenticate or verify the identity of a speaker as part of a security process in accessing applications on the wireless communication device.
Typically, a mobile user initiates speech and/or voice recognition by pushing either a mechanical on or activation button or sliding or pressing a software emulated on or activation button on the face of a touch screen display of a wireless communication device. Thereafter, the mobile user utters a specific word or series of words while in acoustic range of the wireless communication device. In certain scenarios several devices such as a smart phone, traditional cellular phone, tablet and the like may be closely co-located such as in individual collocated charging units and/or a multi-device charging rack. In such a scenario, the mobile user is burdened by locating the wireless communication device as well as by activating the on or activation button as described above. Leaving each device in an “open microphone” configuration is not currently a solution due to the high false alarm rate (i.e., rate of unwilling activations). In other words, in such a scenario as that described above, the wireless communication device would experience a significant reduction in battery life. Such a scenario also would impede the charging of the device's battery, as well expose the device to potential security threats.
Another possible similar, but more serious, scenario could involve a group of first responders (e.g., police, firefighters, emergency medical technicians and the like) proximately located each having their own radio. Such a scenario may be the result of the recently mandated First Responders Network Authority (FirstNet), will be responsible for establishing a nationwide public safety broadband network (FirstNet Nationwide Network (FNN)). FNN is based on a single, national network architecture utilizing the 700 MHz D block spectrum (Band 14) along with other terrestrial mobile long term evolved (LTE)/LTE-advance (LTE-A) networks. FirstNet requires substantial industry collaboration to specify user requirements, interoperability and technology standards. FirstNet also will consult with Federal, State, tribal, and local public safety entities as part of its efforts. Among the responsibility of FirstNet is to enable police, firefighters, emergency medical technicians and other first responders to effectively communicate with one another during emergencies and to use new technology to improve response time, keep communities safe and save lives.
Accordingly, there is a need for a method and apparatus for activating a wireless communication device to accept subsequent speech or voice commands. There also is a similar need for a method and apparatus for activating a particular wireless communication device among a plurality of wireless communication devices to accept subsequent speech or voice commands.
The accompanying figures, where like reference numerals refer to identical or functionally similar elements throughout the separate views, together with the detailed description below, are incorporated in and form part of the specification, and serve to further illustrate embodiments of concepts that include the claimed invention, and explain various principles and advantages of those embodiments.
Skilled artisans will appreciate that elements in the figures are illustrated for simplicity and clarity and have not necessarily been drawn to scale. For example, the dimensions of some of the elements in the figures may be exaggerated relative to other elements to help to improve understanding of embodiments of the present invention.
The apparatus and method components have been represented where appropriate by conventional symbols in the drawings, showing only those specific details that are pertinent to understanding the embodiments described herein so as not to obscure the disclosure with details that will be readily apparent to those of ordinary skill in the art having the benefit of the description herein.
Examples of various embodiments provide apparatuses, methods, and computer-readable media with programs that utilize a word spotting algorithm on wireless communication devices in a first power mode to detect a keyword data sequence embedded within a sampled audio signal. In response to detecting the keyword data sequence, the word spotting algorithm may be terminated and one or more of a plurality of identification algorithms are initiated on the wireless communication device(s) operating in a second power mode to detect the presence of identification data. If identification data is detected on a particular wireless communication device it is activated to accept speech and/or voice commands. On the other hand, if identification data is not detected, the one or more identification algorithms are terminated, and the word spotting algorithm is reinitiated on the wireless communication device(s), which are then operating in the first power mode.
As used throughout this disclosure speech recognition refers to the translation of spoken words into audio signals for further processing to identify words (e.g., translating into text, activating applications and/or features within the activated applications). Speech recognition algorithms may include speaker-independent systems (i.e., systems not requiring specific user speech training) and speaker-dependent systems. Voice recognition refers to determining the identity of the particular mobile user who is speaking, rather than determining what he or she is saying. Recognition of the speaker can be utilized to authenticate or verify the identity of a speaker as part of a security process in accessing applications on the wireless communication device.
Non-limiting examples of the one or more identification algorithms includes: (i) a speech recognition algorithm; (ii) voice recognition algorithm; (iii) an isolation algorithm; and (iv) an image recognition algorithm. A more detailed description of each of the above four identification algorithms is provided below.
In one embodiment, if one or more of the plurality of identification algorithms detects identification data, the wireless communication device is activated to accept subsequent speech or voice commands. For example, one embodiment may include keyword identification followed by speech recognition of the correct device ID (i.e., the speech recognition algorithm identifies a correct sequence of digits following the keyword). A further embodiment may include keyword identification followed by voice recognition (i.e., voice print data derived from the sampled audio signal matches a predetermined voiceprint data). A further embodiment may include keyword identification, speech recognition of the correct device, combined with voice recognition. In yet a further embodiment, keyword identification may be combined with is visual identification, which may include processing images from a camera associated with the communication device to determine if they match predetermined images. A further embodiment may include keyword identification followed by either speech recognition or voice recognition, or both, followed by visual identification. A further identification algorithm referred to herein as degree of isolation, may be used to ensure that the keyword, or the keyword in combination with subsequent digits, or the keyword in combination with subsequent identification utterances, are isolated in a stream of utterances, indicating that the speaker is awaiting a response from the mobile communications device. The degree of isolation algorithm may be used individually or combined with any of the above embodiments.
In still further alternative embodiments, multiple identification algorithms may be used to process available data (e.g., sampled audio data, image data) until a match is found or until all the algorithms have been used with no match being found. Alternatively, a sequence of algorithms may be initiated, with the sequence being determined by the success or failure of individual algorithms. For example, if a speaker's identification is found unreliable by either the voice or image recognition algorithm, but the speech recognition algorithm reliably indicates the correct device (e.g., embedded numeric or alphanumeric identity code matches a predetermined numeric or an alphanumeric identity code), then the wireless communication device can still be activated for voice communication.
In another alternative exemplary embodiment, if fewer than two of the plurality of identification algorithms (which may include any three or more of the described identification algorithms) fails to detect identification data, the wireless communication device is not activated to accept speech or voice commands. For example, in this embodiment at least two of the plurality of identification algorithms must detect the identification information.
Wireless communication device 100 may also include, for example, at least one transceiver module 150 adapted for transmission and reception of wireless signals by way of one or more antennas, such as antenna 152. In one non-limiting embodiment, transceiver module 150 transmits and receives signals over a land mobile radio system (LMRS), public land mobile radio or private land mobile radio system. In another non-limiting embodiment, transceiver module 150 transmits and receives signals over a first responders' network authority (FirstNet) nationwide network (FNN) in the 700 MHz D block spectrum (Band 14). In yet another non-limiting embodiment, transceiver module 150 (in conjunction with one or more additional transceiver modules (not shown)) is adapted to transmit and receive wireless signals over FNN and an enhanced data rates for Global System for Mobile Communication (GSM) Evolution (EDGE) Radio Access Network (GERAN), a Universal Terrestrial Radio Access Networks (UTRAN) and/or an Evolved Universal Terrestrial Radio Access (E-UTRAN) as defined by the long term evolution (LTE), LTE-advanced (LTE-A) and subsequently defined in future releases such as LTE-beyond (LTE-B).
Also, shown in
Wireless communication device 100 can be: a cellular phone, a personal digital assistant, a wireless modem (i.e., access point), a wireless communication device, a laptop computer, a netbook, a tablet computer or a wireless device configured to communicate with a land mobile radio system (LMRS), a public land mobile radio, private land mobile radio system, a first responders network authority (FirstNet) nationwide network (FNN), an enhanced data rates for Global System for Mobile Communication (GSM) Evolution (EDGE) Radio Access Network (GERAN), a Universal Terrestrial Radio Access Networks (UTRAN) and/or an Evolved Universal Terrestrial Radio Access (E-UTRAN) as defined by the long term evolution (LTE), LTE-advanced (LTE-A) and subsequently defined in future releases such as LTE-beyond (LTE-B).
Also, shown in
In one embodiment of an apparatus, the device includes at least one processor; and at least one tangible memory storing computer instructions that when executed, cause the apparatus to: initiate a word spotting algorithm on a wireless communications device in a first power mode to detect a keyword data sequence embedded within a sampled audio signal; and in response to detecting the keyword data sequence, terminating the word spotting algorithm and initiating one or more identification algorithms on the wireless communication device operating in a second power mode to detect the presence of identification data, wherein if the identification data is detected, the wireless communication device is activated, wherein if the identification data is not detected, the identification algorithm is terminated, and the word spotting algorithm is reinitiated on the wireless communication device operating in the first power mode.
Referring now to
Referring now to
Referring now to
In a further embodiment, a voice recognition algorithm (420) is performed on the sampled audio signal as shown in
In an alternative embodiment, an image recognition algorithm (440) may be performed on image data as depicted in
In a further embodiment of
In one embodiment 800 depicted in
The identification algorithms (808) may include one or more of: (i) a speech recognition algorithm operating on the sampled audio signal to identify if an embedded numeric or alphanumeric identity code matches a predetermined numeric or an alphanumeric identity code; (ii) a voice recognition algorithm operating on the sampled audio signal to identify that one or more embedded voice print data matches a predetermined voice print data; (iii) an isolation algorithm operating on the sampled audio signal adapted to identify a predetermined degree of isolation between the keyword data sequence and subsequent utterances; and, (iv) an image recognition algorithm operating on one or more images obtained from an image capture device and identifying one or more recognized images corresponding to one or more reference images.
The speech recognition algorithm may include employing a digit recognizer to identify if the embedded numeric or alphanumeric identity code matches the predetermined numeric or alphanumeric identity code. Implementations of the voice recognition algorithm may be adapted for applying Mel-frequency cepstral coefficients to the sampled audio signal.
In some embodiments, the combination of (i) and (ii) are used to provide additional reliability. Other embodiments may use the combination of (i) and (iii) wherein the isolation is between the combination of the keyword sequence with the identity code and subsequent utterances. Other combinations are also possible.
In an alternative embodiment, methods and apparatuses may use a model that is a whole word model, with the whole word adapted to have variations based on state transitions from phonemes prior to the whole word and after the whole word.
Referring now to
The wireless communication devices 520 include a smart phone 520A equipped with a microphone 522A, a camera 524A, and a speaker 526A. Additionally, the wireless communication devices 520 may include a cellular phone 520B equipped with a microphone 522B, a camera 524B, and a speaker 526B. Moreover, the wireless communication devices 520 may alternatively further include a tablet 520C equipped with a microphone 522C, a camera 524C, and a speaker 526C. Also, wireless communication devices 520 may include a laptop computer 520D equipped with a microphone 522D, a camera 524D, and a speaker 526D. Additional features are omitted to simplify an example implementation such that smart phone 520A, cellular phone 520B, tablet 520C and laptop computer 520D include for example all features as shown in
In
As shown in
As shown in
Once the wireless communication device is activated to accept further speech and/or voice commands, a first responder can utter further commands, such as those activating local or network software. For example, a first responder can communicate with other first responders over the FNN or legacy networks such as land mobile radio systems, or he or she can change channels or obtain information such as weather conditions, or he or she can make a phone call by uttering a phone number or request data such as a map of the surrounding terrain to be rendered on the display.
In the foregoing specification, specific embodiments have been described. However, one of ordinary skill in the art appreciates that various modifications and changes can be made without departing from the scope of the invention as set forth in the claims below. Accordingly, the specification and figures are to be regarded in a illustrative rather than in a restrictive sense, and all such modifications are intended to be included within the scope of present teachings.
The benefits, advantages, solutions to problems, and any element(s) that may cause any benefit, advantage, or solution to occur or become more pronounced are not to be construed as a critical, required, or essential features or elements of any or all the claims. The invention is defined solely by the appended claims including any amendments made during the pendency of this application and all equivalents of those claims as issued.
Moreover in this document, relational terms such as first and second, top and bottom, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. The terms “comprises,” “comprising,” “has”, “having,” “includes”, “including,” “contains”, “containing” or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises, has, includes, contains a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. An element proceeded by “comprises . . . a”, “has . . . a”, “includes . . . a”, “contains . . . a” does not, without more constraints, preclude the existence of additional identical elements in the process, method, article, or apparatus that comprises, has, includes, contains the element. The terms “a” and “an” are defined as one or more unless explicitly stated otherwise herein. A device or structure that is “configured” in a certain way is configured in at least that way, but may also be configured in ways that are not listed.
It will be appreciated that some embodiments may be comprised of one or more generic or specialized processors (or “processing devices”) such as microprocessors, digital signal processors, customized processors and field programmable gate arrays (FPGAs) and unique stored program instructions (including both software and firmware) that control the one or more processors to implement, in conjunction with certain non-processor circuits, some, most, or all of the functions of the method and/or apparatus described herein. Alternatively, some or all functions could be implemented by a state machine that has no stored program instructions, or in one or more application specific integrated circuits (ASICs), in which each function or some combinations of certain of the functions are implemented as custom logic. Of course, a combination of the two approaches could be used.
Moreover, an embodiment can be implemented as a computer-readable storage medium having computer readable code stored thereon for programming a computer (e.g., comprising a processor) to perform a method as described and claimed herein. Examples of such computer-readable storage mediums include, but are not limited to, a hard disk, a CD-ROM, an optical storage device, a magnetic storage device, a ROM (Read Only Memory), a PROM (Programmable Read Only Memory), an EPROM (Erasable Programmable Read Only Memory), an EEPROM (Electrically Erasable Programmable Read Only Memory) and a Flash memory. Further, it is expected that one of ordinary skill, notwithstanding possibly significant effort and many design choices motivated by, for example, available time, current technology, and economic considerations, when guided by the concepts and principles disclosed herein will be readily capable of generating such software instructions and programs and ICs with minimal experimentation.
The Abstract of the Disclosure is provided to allow the reader to quickly ascertain the nature of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims. In addition, in the foregoing Detailed Description, it can be seen that various features are grouped together in various embodiments for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the claimed embodiments require more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive subject matter lies in less than all features of a single disclosed embodiment. Thus the following claims are hereby incorporated into the Detailed Description, with each claim standing on its own as a separately claimed subject matter.
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